Genetic Data

Sequence - Targeted Gene

SZ Dataset 30 Next Generation Sequencing of Two Genes on chr 8 (EGR3 and ARC), 4,066 subjects. This data is available by request due to the large size of the files. To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 3a (Site 35) was collected by using DIGS Version 2.0.

Genetic Data

Full Genome Genotyping

SZ Dataset 11.01 401 markers, STRP genotype data from Chromosome 1-23, for 1,422 African American and European American subjects

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 6 (Sites 41-49) was collected by using DIGS Version 2.1.

Clinical Instruments

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 12 (Site 33) was collected by using DIGS Version 2.0.

Genetic Data

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 13 (Sites 53, 54, 55, 56, 57, 58, 59) was collected by using DIGS Version 2.0 or 2.1.

Genetic Data

Clinical Instruments

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 15 (Sites 70, 71) was collected by using DIGS Version 2.0.

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 22 (Sites 101-108) was collected by using DIGS Version 3.0 and Version 4.0.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 23 (Site 73) was collected by using DIGS Version 2.0.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 29 (Sites 139-149) was collected by using DIGS Version 2.2.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 42 (Site 185) was collected by using DIGS Version 3.0 Revised 7.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

DIGS data for study 59 is in Comprehensive Assessment of Symptoms and History (CASH) format.

Genetic Data

Full Genome Genotyping

SZ Dataset 33 GWAS from Ireland, 3,878 subjects. This dataset is available by request due to the large size of the files, including an archive of genotypes, .cel files, and diagnostic clinical information for the existing samples. Please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Clinical Instruments

DIGS

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

DIGS data for Study 92 (Sites 320-321) were collected by using DIGS Version 2.0

Clinical Instruments

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

The DIGS data for Study 0 (Sites 30, 31, 32) was collected by using DIGS Version 1.0 or 2.0, both versions have a core of variables in common.

SWEDENSZ Dataset 29

Genetic Data

Full Genome Genotyping

SZ Dataset 29 No samples hosted at NIMH Repository and Genomics Resource. This dataset is hosted for public download by request of Pat Sullivan. Data from multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios).

SZ Dataset 33 GWAS from Ireland, 3,878 subjects. This dataset is available by request due to the large size of the files, including an archive of genotypes, .cel files, and diagnostic clinical information for the existing samples. Please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

SZ Dataset 29 No samples hosted at NIMH Repository and Genomics Resource. This dataset is hosted for public download by request of Pat Sullivan. Data from multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios).

SZ Dataset 30 Next Generation Sequencing of Two Genes on chr 8 (EGR3 and ARC), 4,066 subjects. This data is available by request due to the large size of the files. To request shipment, please contact help@nrgr.on.spiceworks.com and reference your active access approval ID.

Diagnostic Interview for Genetic Studies (DIGS) - The CSV-format DIGS interview files provided below are cleaned versions of those received from the original study investigators. While they retain the record layouts and variable naming of their respective DIGS versions, they have had invalid values corrected or removed, date fields converted to a standard format, and their various missing/ unknown values converted to standard textual metavalues in order to avoid misinterpretation. Further details on the cleaning that has been performed are included in the file "sz-digs-cleaning-readme.txt" included in the download. To download the original files as received from study investigators, use "original" links below.

Study 3

The DIGS data for Study 3a (Site 35) was collected by using DIGS Version 2.0.